sfh-viz
Generate rich visualizations for fractal horn design. Use when rendering 3D geometry, creating acoustic plots, animating simulations, building dashboards, or producing publication-quality figures. Cen…
Browse curated skills with source links, package snapshots, README assets and install signals in one calm, searchable catalog.
Generate rich visualizations for fractal horn design. Use when rendering 3D geometry, creating acoustic plots, animating simulations, building dashboards, or producing publication-quality figures. Cen…
Run acoustic simulations on horn geometries using BEM analysis. Use when evaluating horn performance, analyzing impedance curves, calculating polar patterns, or scoring geometry variations. Returns ac…
High-performance Node.js image processing library. Resize JPEG, PNG, WebP, AVIF, and TIFF images at the fastest speed using libvips.
Persistent memory system for AI agents running on Cloudflare's edge network. Use this skill to remember context across conversations, recall relevant information, and build long-term knowledge. Activa…
Final trading signal generator. Consolidates outputs from all analysis sources (War Room, Manual Analysis, Deep Reasoning, CEO Analysis, News) into unified TradingSignal database entries with proper a…
Implication beats simulation — imagination renders (Will Wright)
Quick-reference sheet for OmicVerse tutorials spanning MOFA, GLUE pairing, SIMBA integration, TOSICA transfer, and StaVIA cartography.
Map scRNA-seq atlases onto spatial transcriptomics slides using omicverse's Single2Spatial workflow for deep-forest training, spot-level assessment, and marker visualisation.
Generate fractal horn geometries using space-filling curves and Mandelbrot expansion. Use when designing horn topology, creating geometry variations, or exploring fractal approaches for acoustic optim…
AI-native session continuity through shape anchors rather than linear logs. Use when beginning a session to orient from prior state, or when ending to crystallize state for future instances.
Human Autonomy Verification Protocol - validates that human orchestrators maintain functional independence from AI systems through scheduled blackout testing and multi-dimensional capability assessmen…
Persistent memory system for AI agents. Use this skill to remember context across conversations, recall relevant information, and build long-term knowledge. Activate when you need to store decisions, …
AI-powered Signal Factory Core for processing observability signals and maintaining the knowledge graph. Use when: (1) Developing Signal Engines (Freshness, Drift, Contract, DQ, Volume, Anomaly), (2) …
Guide Claude through SCSA, MetaTiME, CellVote, CellMatch, GPTAnno, and weighted KNN transfer workflows for annotating single-cell modalities.
Run omicverse's CellPhoneDB v5 wrapper on annotated single-cell data to infer ligand-receptor networks and produce CellChat-style visualisations.
Checklist-style reference for OmicVerse downstream tutorials covering AUCell scoring, metacell DEG, and related exports.
Performs coarse clustering on ALL cells (including T cells, B cells, and non-T/B cells) before cell type selection. This process identifies broad cell populations to enable subsequent T/B cell selecti…
Tech Artist worker loop - execute visual asset tasks assigned by coordinator
Sheaf neural network coordination via graph Laplacians for distributed
Generate comprehensive "Shownotes" summaries from longform articles, papers, transcripts, videos, or audio content. Use when users request shownotes, episode summaries, content summaries with takeaway…
Matching and comparative analysis of similar sites around the survey area
Walk through omicverse's single-cell preprocessing tutorials to QC PBMC3k data, normalise counts, detect HVGs, and run PCA/embedding pipelines on CPU, CPU–GPU mixed, or GPU stacks.
Guide Claude through omicverse's single-cell clustering workflow, covering preprocessing, QC, multimethod clustering, topic modeling, cNMF, and cross-batch integration as demonstrated in t_cluster.ipy…
Walk through omicverse's single-cell preprocessing tutorials to QC PBMC3k data, normalise counts, detect HVGs, and run PCA/embedding pipelines on CPU, CPU–GPU mixed, or GPU stacks.